Sat.Nov 23, 2024 - Fri.Nov 29, 2024

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Build a Data Science App with Python in 10 Easy Steps

Flipboard

Learn how to build a data science app with Python, using Scikit-Learn and FastAPI, one step at a time.

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Understanding Autoencoders in Deep Learning

Pickl AI

Summary: Autoencoders are powerful neural networks used for deep learning. They compress input data into lower-dimensional representations while preserving essential features. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. Autoencoders enhance performance in downstream tasks and provide robustness against overfitting, making them versatile tools in Machine Learning.

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What Nobody Tells You About Deploying GenAI

Precisely

Large Language Models (LLMs) became popular after the release of ChatGPT two years ago. The idea of chatting with an AI through a browser significantly reduced the technical barriers, making LLMs the fastest-growing platform globally. Since then, ChatGPT-like applications have surged in popularity, driven by their ease of use and groundbreaking innovations.

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Connect SharePoint Online to Amazon Q Business using OAuth 2.0 ROPC flow authentication

AWS Machine Learning Blog

Enterprises face significant challenges accessing and utilizing the vast amounts of information scattered across organization’s various systems. What if you could simply ask a question and get instant, accurate answers from your company’s entire knowledge base, while accounting for an individual user’s data access levels? Amazon Q Business is a game changing AI assistant that’s revolutionizing how enterprises interact with their data.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Time-series forecasting through recurrent topology

Hacker News

Time-series forecasting is a practical goal in many areas of science and engineering. Common approaches for forecasting future events often rely on highly parameterized or black-box models. However, these are associated with a variety of drawbacks including critical model assumptions, uncertainties in their estimated input hyperparameters, and computational cost.

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Voice content moderation with AI: Everything you need to know

AssemblyAI

Voice content is booming, but it's getting messier by the day. From toxic gaming chat rooms to harassing customer service calls, platforms are drowning in potentially harmful voice interactions that need monitoring. Social gaming platforms alone process millions of hours of voice chat daily, while contact centers handle countless customer conversations.

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GenAI in corporate finance: Redefining data-driven insights

Dataconomy

In today’s rapidly evolving business landscape, where data is abundant but insight can be elusive, elite consulting firms are leveraging the power of generative AI (GenAI) to transform corporate finance. At the forefront of this transformation is Kirill Iaroshenko, a senior management consultant at a global consulting powerhouse, specializing in financial technology and digital transformations.

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John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM is optimized for the following medical language understanding tasks: Summarizing clinical encounters – Summarizing discharge notes, progress notes, radiology reports, pathology reports, and various other medical reports Question answering on clinical notes or biomedical research – Answering questions about a

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How to transcribe Zoom participant recordings (multichannel)

AssemblyAI

Zoom allows you to record each meeting participant's audio separately, both locally and with cloud recordings despite the latter being a relatively unadvertised feature. This is extremely useful for people who want to build with Speech AI on top of Zoom recordings. For example, since each participant is recorded on a different audio track, it is extremely easy to identify who said what in the recording.

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Top 7 Data Science, Large Language Model, and AI Blogs of 2024

Data Science Dojo

The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. To keep up with these rapid developments, it’s crucial to stay informed through reliable and insightful sources. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale

insideBIGDATA

In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out' has never been more applicable than now. Clean, accurate data is the key to winning the AI race - but leaving the starting blocks is the challenge for most.

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Massive Black Friday Deals for Machine Learning Fans!

KDnuggets

Black Friday is finally here, and so are huge savings for your machine learning journey!

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The New Tablestakes, AI Tools That Go To Work

Adrian Bridgwater for Forbes

As the IT trade now comes out of its AI honeymoon period, we can enjoy real world intelligence tools that perform tasks & help us progress towards better societies.

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Booting Databricks VMs 7x Faster for Serverless Compute

databricks

The Databricks Serverless compute infrastructure launches and manages millions of virtual machines (VMs) each day across three major cloud providers, and it is.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. Whether you’re working on a classification task, predicting trends, or building a recommendation […] The post How to Choose Best ML Model for your Usecase?

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Impact of GenAI on the Software Testing Market

KDnuggets

Could AI replace traditional software testers? Learn how Generative AI transforms their roles and supercharges testing efficiency without missing critical tests.

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AWS AI Data Lead: Pushing Past Prototypes In Generative AI

Adrian Bridgwater for Forbes

VP for AI & data at AWS, Swami Sivasubramanian says that as generative AI now moves to production systems, adopters are reaping rewards like accelerated productivity.

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Build an Autonomous AI Assistant with Mosaic AI Agent Framework

databricks

Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. In recent years.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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5 Free Courses for Mastering LLMs

Machine Learning Mastery

Without any doubt, Large Language Models (LLMs) have emerged as one of the biggest AI breakthroughs in recent years: they excel in understanding and generating human-like text , making them versatile for a wide range of applications.

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5 Unconventional Sources of Data for Your Next Project

KDnuggets

When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.

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Embracing AI Devices in the Workplace: Navigating the Ethical Challenges

insideBIGDATA

In this contributed article, Mary Giery-Smith, Senior Publications Manager for CalypsoAI, believes that by developing a culture grounded in responsible AI use, businesses can sidestep unintended pitfalls and build a workplace that values ethical integrity as much as innovation.

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Empowering Business Users with Self-Service Data Intelligence

databricks

Introduction Data is power. According to McKinsey, "Banks own more customer data than companies in most other industries, but they are behind many.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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2024 for OpenAI: Highs, Lows, and Everything in Between

Analytics Vidhya

The year 2024 was nothing short of a rollercoaster for OpenAI, a company that has become synonymous with the cutting edge of artificial intelligence. From groundbreaking product launches to leadership shake-ups and even legal disputes, OpenAI navigated a whirlwind of events. These happenings showcased both the promise and the challenges of building advanced AI systems […] The post 2024 for OpenAI: Highs, Lows, and Everything in Between appeared first on Analytics Vidhya.

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5 Tips for Building Scalable Data Pipelines

KDnuggets

Building data pipelines is a very important skill that you should learn as a data engineer. A data pipeline is just a series of procedures that transport data from one location to another, frequently changing it along the way.

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China and UK trail as U.S. reigns supreme in AI development

Dataconomy

The United States remains the world leader in artificial intelligence innovation, according to a newly released Stanford University index. The Stanford Institute for Human-Centered AI’s Global Vibrancy Tool 2024 assesses AI development across 36 countries, ranking the U.S. first, followed by China and the United Kingdom. The index measures various indicators of AI activity, including research output, private investment, and patenting efforts.

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How automated workflows are revolutionizing the manufacturing industry

databricks

For today’s manufacturers, streamlined and automated workflows are crucial for overcoming challenges such as manual data management and equipment downtime. By leveraging automated.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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LangChain vs CrewAI vs AutoGen to Build a Data Analysis Agent

Analytics Vidhya

In today’s data-driven world, organizations rely on data analysts to interpret complex datasets, uncover actionable insights, and drive decision-making. But what if we could enhance the efficiency and scalability of this process using AI? Enter the Data Analysis Agent, to automate analytical tasks, execute code, and adaptively respond to data queries.

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Getting Started with Redis: Installation and Setup Guide

KDnuggets

Redis is an open-source in-memory data structure storage known for its excellent speed and scalability. This guide provides a comprehensive overview of installing and setting up Redis on various operating systems, including Linux, Windows, and macOS.

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Advances in AI Avatars and why Teeth and Beards are Still Challenging

Dataconomy

AI avatars, or “talking heads,” have marked a new step in the way we approach and comprehend digital engagement. Not that long ago, turning a single photo and audio clip into a realistic, speaking likeness seemed impossible—the best we could get was an ‘uncanny valley’ result, certainly unsuitable for any external use. Now, the situation is much different.

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Tealium and Databricks: Providing Real-Time Insights and AI-Driven Customer Experiences

databricks

In today's rapidly changing digital world, consumer data protection and privacy regulations are reshaping how businesses interact with their customers. These changes can.

AI 216
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.